ArticlebioRxiv : the preprint server for biology2026
A Functional Metabolomics Framework to Track Microbiome Drug Metabolism.
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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8 authors.
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Abstract
Understanding how gut microbes transform drugs, and how this influences microbiome composition and function, remains a key question to better understand the efficacy and side effects of pharmaceuticals. To accelerate the discovery of microbiome-derived drug metabolites, we developed a functional metabolomics workflow that combines the use of synthetic microbial communities (SynComs) with a time-series resolved molecular networking approach and advanced computational metabolite annotation. We demonstrate how this framework can be used to illuminate chemical transformation dynamics in a gut SynCom (Com20) with 50 clinical drugs. Our results highlight a multitude of drug metabolites, including multi-step metabolic cascades, some of which correlated to shifts in microbial taxa, suggesting functional links between microbiome composition and biochemical transformations. Our computational data analysis workflow is publicly available through the GNPS2 ecosystem at chemprop.gnps2.org, which can be used to prioritize biotransformations and other (bio)chemical reactions in various biological and abiotic systems.
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